Why Do Different Methods Give Different Answers to j \cdot {-j}?

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The discussion revolves around the differing results obtained when calculating the dot product of the vectors j and -j using two methods. One method applies the formula involving the cosine of the angle between the vectors, yielding a result of 1, while the other method, which sums the products of their components, gives -1. The discrepancy is attributed to a misunderstanding of the magnitude of the vectors, as the magnitude of -j is still 1, not -1. Participants emphasize the importance of recognizing the negative sign as a scalar multiplier in vector operations. The conversation highlights the need for clarity in applying vector mathematics and understanding the properties of dot products.
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Nice, simple, straighforward problem:
j \cdot {-j}

Difficulty: I solved it two ways and got two answers.

\vec{a} \cdot \vec{b}=ab\cos\phi

So in this case, I should get j \cdot {-j}=(1)(-1)(cos(180^o))=(1)(-1)(-1)=1[/itex]<br /> <br /> However, using the formula \vec{a} \cdot \vec{b}=a_{x}b_{x}+a_{y}b_{y}+a_{z}b_{z}, I got j \cdot {-j}=a_{y}b_{y}=(1)(-1)=-1<br /> <br /> Can anyone tell me why?
 
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mbrmbrg said:
Nice, simple, straighforward problem:
j \cdot {-j}

Difficulty: I solved it two ways and got two answers.

\vec{a} \cdot \vec{b}=ab\cos\phi

So in this case, I should get j \cdot {-j}=(1)(-1)(cos(180^o))=(1)(-1)(-1)=1[/itex]<br /> <br /> However, using the formula \vec{a} \cdot \vec{b}=a_{x}b_{x}+a_{y}b_{y}+a_{z}b_{z}, I got j \cdot {-j}=a_{y}b_{y}=(1)(-1)=-1<br /> <br /> Can anyone tell me why?
<br /> <br /> Recall that the dot product is:<br /> \vec A \cdot \vec B = |\vec A| |\vec B| \cos \theta_{AB}<br /> <br /> let \vec A = (0,-1,0)<br /> A=|\vec A| = \sqrt{(0)^2 +(-1)^2 +(0)^2}<br /> <br /> What is (-1)^2 :)
 
Neither my book nor my professor mentions the absolute value thing. I guess that's completely implied, though, because the negative sign has to do with direction, not magnitude.

Thank you so much!
 
|\vec A| means magnitude of \vec A, which is a scalar and is given by the square root of the sum of the squares of the magnitudes of the component vectors. |\vec{a}|\,=\,\sqrt{a^2_x+a^2_y+a^2_z}



One could also use the fact that -j * j = - (j * j) = - (1) = -1, where I use * to mean the dot product.

Presumable j is a unit vector (0, 1, 0).

Back to the OP:

j \cdot {-j}=(1)(1)(cos(180^o))=(1)(1)(-1)=-1
 
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I think basically your mistake lies in your calculation of the modulus(magnitude) of -j which is 1 not -1.For use in the formula a*b=abcos#
where * means dot product
a/b mean the magnitudes(moduli) of a & b
 
Astronuc said:
One could also use the fact that -j * j = - (j * j)
How is that derived/proven?
 
mbrmbrg said:
Astronuc said:
One could also use the fact that -j * j = - (j * j)
How is that derived/proven?

The dot product operation has an associative property, that says:

(k \vec A) \cdot \vec B = k (\vec A \cdot \vec B)
Where k is a scalar, and \vec A, \,\, \vec B are vectors.
 
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Riiiiiight...
I've got to start consistently thinking of a negative sign as -1 multiplied by what follows, don't I.
Thanks!
 
mbrmbrg said:
Riiiiiight...
I've got to start consistently thinking of a negative sign as -1 multiplied by what follows, don't I.
Thanks!

I remember how much grief that used to give me :smile:
 
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